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Weekend Software Engineer Gpu Jobs in Kentucky (NOW HIRING)

$224 - $357/hr

JR2022052NVIDIA's invention of the GPU fueled the AI revolution and transformed how the world ... Forward Deployed Engineers work at the intersection of software engineering, AI, product ...

New

$161 - $261/hr

As AI agents redefine software development, Docker is at the center of that shift, providing the ... weekends, and holidays, as needed. Minimum Required Qualifications: * 6+ years of experience ...

New

$135 - $165/hr

Experience with GPU or accelerator programming using CUDA, Triton, OpenCL, or similar technologies ... Experience profiling and optimizing the performance of software or ML workloads. * Research ...

New

Systems Engineer

Georgetown, KY · On-site

$55 - $65/hr

Participate in weekend support during scheduled maintenance activities. * Required Qualifications * Bachelor's degree in Electrical Engineering, Computer Science, Software Engineering, or a related ...

Testing and deployment of application quarterly version upgrades as provided by software vendor ... Ability to work weekends to support application management activities. * Strong verbal and written ...

$350 - $500/hr

Strong software engineering fundamentals and hands‑on coding ability, with proficiency in Python ... Experience with machine learning framework internals, GPU or accelerator programming, or inference ...

New

Software development and equipment testing. ** Supporting validation activities and managing ... Ability to work weekends to support application management activities. Strong interpersonal skills ...

$250 - $450/hr

... GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is ... software. * 5+ years leading engineering teams. * Deep experience with modern compiler ...

New

Data Center Technician

Hebron, KY · On-site

$30 - $36/hr

About Introl Introl stands apart as a leader in GPU infrastructure deployments, specializing in ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Controls Engineer

Shelbyville, KY

$77K - $100K/yr

... and software documentation using tools such as AutoCAD. * Travel periodically to other plant ... Ability and willingness to support plant operations during evenings and weekends as needed.

Showing results 21-40

Weekend Software Engineer Gpu information

What is the difference between Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

Senior Staff Forward Deployed Engineer, Enterprise AI and Automation

NVIDIA Corporation

On-site

$224 - $357/hr

Other

Posted 3 days ago

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

## Senior Staff Forward Deployed Engineer, Enterprise AI and AutomationApplylocations: US, CA, Santa Claratime type: Full timeposted on: Posted Todayjob requisition id: JR2022052NVIDIA's invention of the GPU fueled the AI revolution and transformed how the world builds intelligent systems. Today, NVIDIA is transforming how AI accelerates every aspect of our own business. Our Enterprise AI organization develops production-grade AI agents and intelligent applications that improve engineering productivity. We are seeking a Senior Staff Forward Deployed Engineer to drive Enterprise AI transformation across NVIDIA. In this highly technical, hands-on leadership role, you will partner directly with business organizations to identify high-impact opportunities, design and build production AI solutions, and drive enterprise adoption that delivers measurable business outcomes.Within NVIDIA Enterprise AI, forward deployment means embedding with internal teams to deeply understand their workflows, systems, and domain constraints, and engineering solutions with them on shared enterprise AI infrastructure. Forward Deployed Engineers work at the intersection of software engineering, AI, product development, and business transformation. They tackle complex operational challenges while converting successful deployments into reusable platform capabilities that accelerate AI innovation across NVIDIA. As a Senior Staff engineer, you will influence technical strategy across multiple enterprise domains, mentor engineers, and help establish Forward Deployed Engineering as a core engineering capability within NVIDIA's Enterprise AI organization.**What You'll Be Doing:*** Own technical delivery for enterprise domains such as Supply Chain, IT Operations, Site Reliability, Network Infrastructure, Finance, HR, and Security, leading solutions from business discovery and architecture through development, deployment, adoption, and continuous improvement.* Design, build, and operate full-stack AI systems using Python, TypeScript, PostgreSQL, vector databases such as Milvus, and Kubernetes. Integrate commercial and open-weight language and multimodal models through standard and OpenAI-compatible APIs, selecting models based on capability, quality, latency, cost, security, and operational requirements.* Rapidly prototype new AI capabilities, validate them with users, and translate real-world feedback into intuitive, high-quality products while maintaining production engineering standards.* Own the production success of deployed solutions by measuring adoption, evaluation results, reliability, operational performance, and business impact while establishing strong practices for testing, observability, CI/CD, security, performance, and operational readiness.* Identify reusable patterns across business domains and work with platform engineering teams to turn successful deployments into shared Enterprise AI services and frameworks that inform broader strategy and architecture.* Use AI-assisted development tools extensively while remaining accountable for architecture, implementation quality, testing, code review, security, and maintainability. Provide technical leadership through architectural guidance, mentoring, and scalable engineering practices.**What We Need to See:*** BS, MS, or equivalent experience in Computer Science, Software Engineering, or a related field, with 12+ years of experience building and operating complex, large-scale production software systems.* Proven track record to take products from ambiguous problem definition through architecture, prototyping, productionization, and long-term operation, with clear end-to-end ownership of technical and business outcomes.* Strong software engineering skills and the ability to contribute across the application stack while making sound architectural tradeoffs around scalability, reliability, performance, security, maintainability, and development velocity.* Hands-on experience building production AI applications using LLMs, agentic architectures, RAG, tool use, workflow orchestration, memory, evaluation systems, guardrails, or intelligent automation. This role emphasizes building complete AI-powered products and systems rather than model research or experimentation in isolation.* Strong product and user-experience judgment, including the ability to turn complex technologies and workflows into intuitive, high-quality products that users trust and adopt.* Demonstrated success working directly with business partners to understand complex requirements, translate ambiguous problems into scalable technical solutions, and deliver measurable business impact.* Deep technical leadership, architectural judgment, and communication skills, with a track record of influencing engineering strategy and collaborating effectively across engineering, product, and business teams.* Ability to quickly learn new business domains and become a trusted technical partner for enterprise organizations.**Ways to Stand Out from the Crowd:*** Experience delivering AI solutions for enterprise business domains such as Supply Chain and IT Operations.* Experience deploying multi-agent systems, enterprise AI assistants, workflow automation platforms, AI copilots, or autonomous business processes into production environments.* Hands-on experience with NVIDIA AI technologies including Nemotron, NIM, NeMo Agent Toolkit, AI Blueprints, or other NVIDIA AI software platforms.* Experience building reusable frameworks, platforms, or shared engineering capabilities that enable multiple products, business domains, or organizations.* Demonstrated fluency with AI-assisted development tools and coding agents, with a self-directed builder attitude and a track record of rapidly turning ideas into working prototypes while maintaining strong standards for architecture, testing, security, code review, and maintainability.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 14, 2026. #J-18808-Ljbffr

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993